Staqu Technologies, a deep-tech AI company based in India, specializes in intelligent video analytics. Its flagship platform, JARVIS, transforms conventional CCTV networks into AI-driven intelligence systems, delivering real-time insights and actionable alerts. By harnessing artificial intelligence, computer vision, and deep learning, JARVIS converts raw audio-video streams into meaningful intelligence that strengthens security, boosts operational efficiency, and supports informed decision-making. Seamlessly integrating with existing cameras and video management systems, the platform enables organizations to monitor events, detect anomalies, and automate responses. Across sectors such as retail, infrastructure, and public safety, JARVIS empowers enterprises and government agencies to turn vast volumes of surveillance data into valuable operational insights.
At the India AI Impact Expo 2026, in an exclusive conversation with The Interview World, Shraddha Srivastava, BDM (Government Sales) at Staqu Technologies, detailed how JARVIS operates and highlighted its adoption across numerous police stations. She explained how the platform aids crime prevention, enhances road safety, and improves traffic management. The following are the key insights from her discussion.
Q: Could you explain what JARVIS is and how its underlying working mechanism functions?
A: We collaborate with 19 state police forces and work closely with India’s intelligence agencies. Beyond government, we serve enterprises such as Raymond, Starbucks, Tech Mahindra, and leading manufacturing companies. Staqu Technologies is an 11-year-old, camera-agnostic company: our software integrates with any camera brand, provided certain parameters are defined.
Through JARVIS, organizations can perform video, audio, and text-based analytics. Cameras alone are passive devices, they only capture events. Our software, however, transforms these feeds into actionable intelligence, generating real-time alerts via web or mobile applications whenever an activity requires attention.
Recently, we launched Yaksh, inaugurated by UP Chief Minister Yogi Adityanath, who emphasized that the platform was developed specifically for the UP Police. Tracking criminals in prisons or police stations has historically been challenging. Previously, when an officer was transferred, any locally maintained database often disappeared. Now, our platform securely stores records, whether they are 100 or 150 years old, ensuring continuity.
The system uses a structured template for officers to input required information. This ensures that criminal records, along with their activities, are stored systematically and sequentially. When a criminal is identified and an FIR is filed, the platform tracks every subsequent action—or inaction—related to the case. This approach makes traceability faster, more accurate, and far more efficient for law enforcement.
Q: In how many jails or police stations has your camera or software solution been installed?
A: We work with 19 state police departments and both national intelligence agencies. Our solutions also support five prisons, the defence sector, border surveillance, and a wide range of enterprises.
For instance, if the police receive a report of criminal activity but do not know the suspect’s face, they may still have a voice sample obtained from authorities, telecom towers, or service providers. Using our database, when an officer arrests the suspect, JARVIS captures the criminal’s photograph and records a three-minute audio clip. This clip contains key information, including the suspect’s name, father’s name, address, and details about their spouse and children. By linking these records to the database, authorities gain immediate, actionable intelligence to aid investigations and enforcement.
Q: How does your system help in controlling or preventing crime?
A: Our software achieves 95% accuracy in identifying criminals. It monitors any suspicious or criminal activity, including high-profile incidents like the recent Delhi blast. Criminals often scout an area before executing their activities, creating predictable patterns. For example, if a person travels regularly from Noida to Gurugram over 15 days, leaving at 2 PM and returning at 5 PM, our system identifies this recurring pattern. If the pattern appears suspicious, JARVIS immediately generates an alert for the police.
Authorities then receive detailed information, including the vehicle used, the owner’s identity, and other relevant data. Additionally, the system tracks the suspect’s modus operandi and travel history over time, providing a comprehensive behavioural profile. These insights enable the police to respond proactively to potential threats.
Our system also enhances border security. For instance, if someone attempts to throw contraband over a barbed-wire fence, our cameras detect the movement and trigger alerts. The software is intelligent enough to distinguish natural movements, like birds, from suspicious actions, focusing only on patterns that indicate potential criminal behaviour. By detecting these anomalies early, JARVIS helps law enforcement prevent crimes before they occur and strengthens overall public safety.
Q: Are your products also used for traffic management and road safety?
A: Our products support a wide range of applications, from road safety and traffic management to criminal investigations and media monitoring. They can track activities in real time and generate alerts for authorities. For example, if the police issue a press release describing an incident without naming suspects but specifying the location, our system can assist immediately. Using CrimeGPT, officers can access detailed insights on how similar incidents were previously handled, including the strategies employed and the outcomes achieved. This enables law enforcement to act faster, make informed decisions, and enhance operational effectiveness.
Q: Do you also have data related to these incidents?
A: Yes, our system stores comprehensive details from all cases and incidents, fully accessible to the police. We provide the software directly to law enforcement, enabling officers to retrieve and analyse this data efficiently whenever needed.
